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Open access

Shilpa Balan and Joseph Otto

Abstract

The healthcare industry is rapidly changing and currently there is a constant need for improvisation because of the lack of processed data. The healthcare industry in the United States has generated vast amounts of data, but these data have not been processed effectively to make improvements in the healthcare industry. In particular, there has been an increasing demand for Home Healthcare services in the United States. This study demonstrates an application of big data methodology to study home healthcare services. The analysis is performed using statistical programming, called ‘R’, that is used for analysing big data.

Open access

Shilpa Balan and Janhavi Rege

Abstract

Background: Information can now be rapidly exchanged due to social media. Due to its openness, Twitter has generated massive amounts of data. In this paper, we apply data mining and analytics to extract the usage patterns of social media by small businesses. Objectives: The aim of this paper is to describe with an example how data mining can be applied to social media. This paper further examines the impact of social media on small businesses. The Twitter posts related to small businesses are analyzed in detail. Methods/Approach: The patterns of social media usage by small businesses are observed using IBM Watson Analytics. In this paper, we particularly analyze tweets on Twitter for the hashtag #smallbusiness. Results: It is found that the number of females posting topics related to small business on Twitter is greater than the number of males. It is also found that the number of negative posts in Twitter is relatively low. Conclusions: Small firms are beginning to understand the importance of social media to realize their business goals. For future research, further analysis can be performed on the date and time the tweets were posted.

Open access

Shilpa Balan, Joseph Otto, Edgar Minasian and Arun Aryal

Abstract

In the current digital age, most people have become very dependent on technology for their daily work tasks. With the rise of the technological advancements, cyber-attacks have also increased. Over the past few years, there have been several security breaches. When sensitive data are breached, both organisations and consumers are affected. In the present research, we analyse the cyber security risks and its impact on organisations. To perform the analysis, a big data technology such as R programming is used. For example, using a big data analysis, it was found that the majority of businesses detected at least one incident involving a local area network (LAN) breach.